also, this thing runs LINUX

<:gay:382982146249326612>

oh geez

ain't that the best

when you don't know what your fucking problem was

debian is the gayest linux distro

oh yeah

not knowing is half the battle lost 🤣

debian? more like lesbian

which makes it the big gay

Today, I'm tackling this
https://bitbucket.org/libtcod/libtcod/overview

And this

https://en.wikipedia.org/wiki/Microsoft_Visual_Studio

They don't like each other >_>

visual studio gives me aids

says the roach

Isn't time for you to go to bed?

nein

@Legiondude is there a reason you have to use Visual Studio?

seems like it'd be easier to just code in python in something like Visual Studio Code

I'm most familiar with VS

And it's the only setup I've got on my box that has a compiler

you coding on windows?

if you use python you don't need to worry about a C++ compiler, and you'll be able to write code a lot faster

you don't need to worry about all the low level junk

I don't have experience with Python, thus the problem

There's an equivalent library for C#, but the documentation for that hasn't been maintained in some time

python would be a good language to learn if you get time

what do you use to compile python anyway?

nothing!

lol

wot

you never get compile errors 😃

.....

all the bugs happen at runtime

the way God intended

Python is all dynamic. It requires extensive runtime support, like Java or C#.

If you restrict what features you use, you can compile into a native program, using RPython.

"Restricted Python"

Then you can do silly things, like PyPy. It's a Python implementation written in Python. And it's faster than the standard Python interpreter.

Cython is probably the fastest way to do Python, though it's a little different.

Python written in Python <:think_madpepe:378717098630971395>
But what about Python written in Python written in Python written in Python written in Python?

Sounds silly, but it's legit. Performance very close to C code.

Because it's far easier (for Python programmers) to write a Python interpreter in Python. PyPy also supports stackless Python, and a JIT compiler (which is what gives the extra performance.)